Data Governance
Understand the data before you write the rules
Inspect source data, define validation requirements and review affected records before activating a rule.
The capability
Profiling informs human decisions
Source profiling helps teams understand incoming data before accepting it into maintained records.
Use the validation rule builder to define requirements and review affected-record counts before activation. Profiling informs that work; it is not a promise of automatically inferred rules.
Problems it solves
Where this work usually breaks down
Unfamiliar source data
A new source needs inspection before rules are chosen.
Unreviewed rule impact
Owners need to see which records a proposed rule affects.
Functional capabilities
What Data Profiling & Rule Review includes
- Source profiling
- Inspect incoming data before acceptance.
- Validation rule builder
- Define validation requirements.
- Affected-record previews
- Review rule impact before activation.
- Owner review
- Have responsible people decide which requirements apply.
How it works
Review source observations
Select an observation to inspect the data and the review it calls for.
SOURCE INSPECTION
Missing country values
- Field
- Country of origin
- Observation
- Some source rows are blank
The data owner decides whether the field is required for this use.
In industrial operations
A team evaluates a new supplier file
A source uses unfamiliar values and formats.
- Inspect the source profile.
- Agree the required data.
- Define validation rules.
- Review affected records before activation.
Result: Rules follow reviewed requirements rather than assumptions.
Autonomous operations
How autonomous execution changes data profiling & rule review
Profiling and validation support governed intake; owners define requirements.
Agents carry out
- Profile incoming data
- Evaluate configured rules
People decide
- Define requirements
- Review rule impact
Evidence recorded
- Source profile
- Affected-record preview
Related capabilities
Works alongside
Data Quality Management
Quality dimensions, rules, trends and owned remediation across domains.
Feature guideValidation & Completeness
Category-specific rules, severities and completeness scores with clear explanations.
Feature guideSupplier Data Ingestion
Spreadsheets, CSV, XML and JSON staged, mapped, normalized and checked before acceptance.
Feature guideData Stewardship
Accountable review with source evidence and recorded decisions.
Capability areaData Governance
See where Data Profiling & Rule Review fits in the wider Data Governance capability.
Buyer FAQs
Questions evaluators ask
Does profiling create rules automatically?
This guide describes source inspection and owner-defined validation rules, not automatic rule inference.
Can rule impact be checked?
Yes. The rule builder previews affected-record counts before activation.
Who defines the requirements?
Data owners and stewards decide the requirements for their data.
How does this support intake?
Inspection and validation inform whether incoming data is ready for acceptance.
Can external validators be used?
Yes. See Validation & Completeness for attribute-bound external validation services.
Your next step
See Data Profiling & Rule Review on data like yours.
Bring a real file, catalog or record set. We will walk through how Autonera would handle it and where your team keeps the final say.
Book a Demo